Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

BACKGROUND: The increasing development and spread of artificial and assistive intelligence is openin...

Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity.

Spiking neural networks (SNNs) are the basis for many energy-efficient neuromorphic hardware systems...

Deep Learning Enhances Precision of Citrullination Identification in Human and Plant Tissue Proteomes.

Citrullination is a critical yet understudied post-translational modification (PTM) implicated in va...

Toward Machine Learning Electrospray Ionization Sensitivity Prediction for Semiquantitative Lipidomics in Stem Cells.

Specificity, sensitivity, and high metabolite coverage make mass spectrometry (MS) one of the most v...

Education and Training Assessment and Artificial Intelligence. A Pragmatic Guide for Educators.

The emergence of ChatGPT and similar new Generative AI tools has created concern about the validity ...

Cost-efficient training of hyperspectral deep learning models for the detection of contaminating grains in bulk oats by fluorescent tagging.

Computer vision based on instance segmentation deep learning models offers great potential for autom...

Error fields: personalized robotic movement training that augments one's more likely mistakes.

Control of movement is learned and uses error feedback during practice to predict actions for the ne...

FLANet: A multiscale temporal convolution and spatial-spectral attention network for EEG artifact removal with adversarial training.

Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...

DC²T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation.

Continual Learning (CL) is recognized to be a storage-efficient and privacy-protecting approach for ...

M₂DC: A Meta-Learning Framework for Generalizable Diagnostic Classification of Major Depressive Disorder.

Psychiatric diseases are bringing heavy burdens for both individual health and social stability. The...

Improved workflow for constructing machine learning models: Predicting retention times and peak widths in oligonucleotide separation.

This study presents an improved workflow to support the development of machine learning models to pr...

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.

Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...

Predicting abatacept retention using machine learning.

BACKGROUND: The incorporation of machine learning is becoming more prevalent in the clinical setting...

NLP for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review.

This review examines the application of natural language processing (NLP) techniques in cancer resea...

The multiple uses of artificial intelligence in exercise programs: a narrative review.

BACKGROUND: Artificial intelligence is based on algorithms that enable machines to perform tasks and...

Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing.

Magnetic Resonance Imaging (MRI) generates medical images of multiple sequences, i.e., multimodal, f...

Can Focusing on One Deep Learning Architecture Improve Fault Diagnosis Performance?

Machine learning approaches often involve evaluating a wide range of models due to various available...

Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review.

PURPOSE: This study explores uses of artificial intelligence (AI) in health professions education fo...

SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.

BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and...

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